Artificial intelligence model can predict whether Crohn disease will recur after surgery (IMAGE)
Caption
Sixty-eight patients with Crohn disease were classified according to the presence or absence of postoperative recurrence within two years. The investigators performed histological analysis of surgical specimens using deep learning EfficientNet-b5, a commercially available AI model designed to perform image classification. They achieved a highly accurate prediction of postoperative recurrence (AUC=0.995) and discovered morphological differences of adipose cells between the two groups.
Credit
The American Journal of Pathology
Usage Restrictions
Please include attribution
License
Original content